Li et al. in AGCN [1]} proposed an attention based GCN to model the inter and intra dependencies of the proposals. Intra attention learns the long-range dependencies among pixels inside each action proposal and inter attention learns the adaptive dependencies among the proposals to adjust the imprecise boundary. Bai et al. in BC-GNN [2]} proposed a graph neural network to model the relations between the boundary and action content of temporal proposals.
